Exploring indicators for happiness and its effect to people's emotion using LEIQ(TM)

A. Lokman, S. Mohamed Shuhidan, S. R. Hamidi, Shamsiah Abd Kadir, S. Syahirah
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Abstract

Many assumptions were made about people's dissatisfaction with their daily lives, such as debt burden, social problems, unstable economic conditions, health problems, cost of living, lack of job opportunities, lack of educational support, and so on. The positive or negative emotional experience is distinctive between individuals or groups of people who share similar life experiences. Thus, the purpose of this study was to explore the emotional responses of a specific population to daily obstacles that may be related to the mentioned scenarios. The Lokman's Emotion and Importance Quadrant (LEIQ)TM, which was built on axes of emotion vs. importance, was used in this study to discover the importance of the identified indicators to the people’s happiness. The model is based on the idea that accurate strategies to improve people's quality of life can be devised by classifying indicators that contribute to people's emotions and understanding their importance to the people who interact with the stimuli. The findings of this study will eventually enable the identification of indicators that significantly influence people's positive or negative emotional states, which can then be used by stakeholders to devise effective strategies for future improvements.
利用LEIQ(TM)探索幸福指标及其对人的情绪影响
人们对日常生活的不满有很多假设,比如债务负担、社会问题、不稳定的经济状况、健康问题、生活成本、缺乏工作机会、缺乏教育支持等等。积极或消极的情绪体验在有着相似生活经历的个人或群体之间是独特的。因此,本研究的目的是探讨特定人群对可能与上述情景相关的日常障碍的情绪反应。本研究使用Lokman的情绪和重要性象限(LEIQ)TM,建立在情绪与重要性的轴上,以发现所识别的指标对人们的幸福的重要性。该模型基于这样一种理念,即通过对影响人们情绪的指标进行分类,并了解它们对与刺激互动的人的重要性,可以设计出改善人们生活质量的准确策略。这项研究的结果最终将能够识别显著影响人们积极或消极情绪状态的指标,然后利益相关者可以使用这些指标来制定未来改进的有效策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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